
Track AI-generated code from IDE to production: measure cost, acceptance rate, and ROI per agent.
By Tanmay Verma, Founder · Last verified 05 Jul 2026
In short
The New Waydev — Track AI-generated code from IDE to production: measure cost, acceptance rate, and ROI per agent. Best for Engineering managers overseeing distributed AI-assisted teams, VP of Engineering / CTO justifying AI tool spend, Platform teams evaluating multiple AI coding assistants. Paid pricing.
See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.
3 free scans · no card needed · downloadable report
Waydev fills a critical niche in the AI engineering intelligence space. It is the first platform we have seen that traces AI-generated code all the way to production and attributes cost per shipped PR. If your team relies on multiple AI coding assistants, Waydev provides the data to decide which ones actually deliver value.
Compare with: The New Waydev vs Bito, The New Waydev vs OpenHands, The New Waydev vs Chrome DevTools MCP
Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
17 mentions across 2 sources (Product Hunt, Bluesky).
How likely is The New Waydev to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Waydev is a software engineering intelligence platform specialized in tracking AI agent–generated code across the SDLC. It captures every line of AI-written code from the IDE through to production, attributing each change to specific agents like Copilot, Cursor, or Claude Code. For each pull request, Waydev reports which agent generated the code, tokens consumed, cost per PR, acceptance rate, and deployment status. This gives engineering leaders a precise, data-driven view of AI ROI across teams, repos, and vendors. The platform also provides classic DORA metrics (deployment frequency, lead time, change failure rate, MTTR), cycle time analysis, pull request insights, sprint velocity, and resource planning. Its AI Coach offers actionable recommendations, and the Waydev Agent answers natural-language questions about delivery risk, productivity, and spend. Waydev integrates with GitHub, GitLab, Bitbucket, Jira, Slack, and all major CI/CD tools. Designed for engineering managers, VPs of Engineering, and CTOs, Waydev helps organizations justify AI investments and optimize developer experience. It is backed by Y Combinator and recognized as a market leader in G2’s Winter/Summer/Spring 2025 reports, with SOC 3 certification. What makes Waydev different is its deep focus on AI accountability: instead of just DORA metrics, it shows cost per shipped PR, agent-level acceptance rates, and deployment success. This granularity helps teams decide which AI tools actually deliver value to customers.
Waydev is purpose-built for the messy reality of AI-assisted development. As organizations adopt multiple coding agents—Copilot, Cursor, Claude Code, Codex—the need to measure which ones are actually shipping code to production becomes urgent. Waydev answers that question with per-agent cost, token usage, acceptance rate, and deployment status attached to every PR. We'd reach for this when we need to justify a six-figure AI tool spend to the CFO, or when we're A/B testing a new assistant across a team of 50 engineers. Where it bites: Waydev is not a developer productivity tool for individual coders. It's an executive dashboard for engineering leaders, and the pricing reflects that—it's a paid platform with annual per-active-contributor billing, no free tier. Small teams (under 10 engineers) or shops not yet using generative AI will find little value here. The nearest alternative is likely LinearB, which overlaps on DORA and cycle-time tracking but lacks Waydev's per-agent AI attribution. In practice, if your pain point is 'how do we know Copilot is worth it?', Waydev's presentation-ready AI ROI view is unmatched. One caveat: the platform depends on granular Git data. If your workflow is trunk-based with squashed merges or heavy manual cherry-picks, attribution may be less precise. Also, the AI adoption and impact features are relatively new, so expect some rough edges in reporting.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Common stack mates teams adopt alongside The New Waydev, with the specific reason each pairing earns its keep.
Open platform for autonomous cloud coding agents that fix bugs, review PRs, and migrate code asynchronously.
Open-source MCP server for live Chrome browser control and DevTools debugging
Used The New Waydev? Help shape our editorial sentiment research.